Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics - Tapa dura

 
9783036557618: Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics
Tapa dura
ISBN 10: 303655761X ISBN 13: 9783036557618
Editorial: MDPI AG, 2023

Sinopsis

With the increasing requirements for energy, resources, and space, numerous rock engineering projects (e.g., mining, tunnelling, underground storage, and geothermal and petroleum engineering) are more often being constructed and operated in large-scale, deep underground, and complex geology environments. Meanwhile, more and more unconventional rock failures and rock instabilities (e.g., rockbursts, large-scale collapses, and mine earthquakes) are occurring and severely threatening the safety of underground operations. It is well-recognized that rocks have multiscale structures from minerals, particles, fractures, fissures, joints, and stratification to faults and involve multiscale fracture processes. In the deep earth, rocks are commonly subjected to complex high-stress and strong-dynamic disturbances simultaneously. In addition, there are many multiphysics coupling processes, such as the coupled thermo-hydromechanical interaction in fractured porous rocks. It is still difficult to understand rock mechanics and to characterize rock behaviors with complex stress conditions, multiphysics processes, and multiscale changes. The primary aim of this Special Issue is to bring together original research discussing innovative efforts on analytical, numerical, and big-data-based methods in rock mechanics. It includes 25 manuscripts that illustrate the richness and challenging nature of deep rock mechanics.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
MDPI AG
Año de publicación
2023
Idioma
Inglés
ISBN 10 
303655761X
ISBN 13 
9783036557618
Encuadernación
Tapa dura
Número de páginas
432
Editor
Zhou Jian, Wang Shaofeng, Cai Xin
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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